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Found 5 papers, 0 papers with code
On the Use of Minimum Penalties in Statistical Learning
In this article we proposed the MinPEN framework to simultaneously estimate regression coefficients associated with the multivariate regression model and the relationships between outcome variables using mild assumptions.
Estimating Multiple Precision Matrices with Cluster Fusion Regularization
The framework proposed in this article allows for simultaneous estimation of the precision matrices and relationships between the precision matrices, jointly.
A Cluster Elastic Net for Multivariate Regression
We propose a method for estimating coefficients in multivariate regression when there is a clustering structure to the response variables.
Automatic Response Category Combination in Multinomial Logistic Regression
We propose a penalized likelihood method that simultaneously fits the multinomial logistic regression model and combines subsets of the response categories.
Ridge Fusion in Statistical Learning
We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering.
